Publicação
The impact of brazilian crisis on export and non-export stocks
| Resumo: | Considering that Brazil is currently one of the major emerging economies in the world through this work is possible to compare the returns of before and after the 2015 crisis peak (GDP = - 3.8%) with the evolution of the principal stock exchange in Brazil (IBOVESPA). As known, the exchange rate is the major source of macroeconomic uncertainty is important to understand if the export companies have a higher profitability than non-export companies. As basis for this work, I used the 407 companies listed in IBOVESPA, being separated between: Exporters and Non-Exporters. The analysis continued using Log Return and in the end, I was able to prove that the differences in the daily returns of the companies that export are statistically higher than those that do not export, making it clear that even in a critical period like 2014 to 2016 it is possible profitability vis-à-vis non-exporters. |
|---|---|
| Autores principais: | Pereira, Frederico Augusto Fogolin |
| Assunto: | Mercado de ações Bolsa de valores Taxa de câmbio Crise financeira Exportação PIB Produto Interno Bruto Rentabilidade Brasil - 2014-2016 Crisis Brazil IBOVESPA GDP PIB |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | Considering that Brazil is currently one of the major emerging economies in the world through this work is possible to compare the returns of before and after the 2015 crisis peak (GDP = - 3.8%) with the evolution of the principal stock exchange in Brazil (IBOVESPA). As known, the exchange rate is the major source of macroeconomic uncertainty is important to understand if the export companies have a higher profitability than non-export companies. As basis for this work, I used the 407 companies listed in IBOVESPA, being separated between: Exporters and Non-Exporters. The analysis continued using Log Return and in the end, I was able to prove that the differences in the daily returns of the companies that export are statistically higher than those that do not export, making it clear that even in a critical period like 2014 to 2016 it is possible profitability vis-à-vis non-exporters. |
|---|